PhD Thesis Defense
Shervin Javdani
Carnegie Mellon University

Acting under Uncertainty for Information Gathering and Shared Autonomy

GHC 8102

Abstract: Acting under uncertainty is a fundamental challenge for any decision maker in the real world. As uncertainty is often the culprit of failure, many prior works attempt to reduce the problem to one with a known state. However, this fails to account for a key property of acting under uncertainty: we can often gain [...]

Student Talks
Supreeth Achar
Carnegie Mellon University

Active Illumination for the Real World

GHC 8102

Abstract: Active illumination systems use a controllable light source and a light sensor to measure properties of a scene. For such a system to work reliably across a wide range of environments it must be able to handle the effects of global light transport, bright ambient light, interference from other active illumination devices, defocus, and [...]

PhD Thesis Defense
Nathan Brooks
Carnegie Mellon University

Situational Awareness and Mixed Initiative Markup for Human-Robot Team Plans

NSH 1305

Abstract: As robots become more reliable and user interfaces (UI) become more powerful, human-robot teams are being applied to more real world problems. Human-robot teams offer redundancy and heterogeneous capabilities desirable in scientific investigation, surveillance, disaster response, and search and rescue operations. Large teams are overwhelming for a human operator, so systems employ high level [...]

PhD Thesis Defense
Abhinav Shrivastava
Carnegie Mellon University

Discovering and Leveraging Visual Structure for Large-scale Recognition

GHC 8102

Abstract: Our visual world is extraordinarily varied and complex, but despite its richness, the space of visual data may not be that astronomically large. We live in a well-structured, predictable world, where cars almost always drive on roads, sky is always above the ground, and so on. As humans, the ability to learn this structure [...]

PhD Thesis Defense
Venkatraman Narayanan
Carnegie Mellon University

Deliberative Perception

Newell-Simon Hall 3305

Abstract: A recurrent and elementary robot perception task is to identify and localize objects of interest in the physical world. In many real-world situations such as in automated warehouses and assembly lines, this task entails localizing specific object instances with known 3D models. Most modern-day methods for the 3D multi-object localization task employ scene-to-model feature [...]